{"id":"W6930567558","doi":"10.5281/zenodo.12789953","title":"Gluco Guard Blood Sugar: Reviews, Benefits, Uses, Work & Results?","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guard (computer science); Blood sugar; Diabetes mellitus; Insulin; National guard; Sugar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002779687,0.0007936841,0.001102587,0.002402073,0.0005347815,0.003611113,0.001057502,0.001446027,0.09465159],"category_scores_gemma":[0.00568527,0.000401022,0.00122385,0.003728078,0.0005296506,0.002484136,0.001318991,0.002377952,0.04747766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129646,"about_ca_system_score_gemma":0.00309366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297391,"about_ca_topic_score_gemma":0.00579431,"domain_scores_codex":[0.9987831,0.0002392188,0.0001341516,0.00008993955,0.0006438816,0.0001097348],"domain_scores_gemma":[0.9958982,0.001076786,0.0003536042,0.0001485574,0.002088898,0.0004340046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002146088,0.0001206633,0.0001257847,0.0123822,0.00003769305,0.00004305528,0.00005882001,0.0000327148,0.0003669918,0.001520363,0.4980545,0.4870425],"study_design_scores_gemma":[0.00003119357,0.00006076374,0.0003637963,0.004058999,0.00004593258,0.00007575769,0.00006198602,0.00001176897,0.0001664788,0.0002933299,0.9948196,0.00001038907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0005867181,0.8756524,0.0005276756,0.009136439,0.01589911,0.0003206068,0.001769928,0.0003540711,0.09575304],"genre_scores_gemma":[0.002869709,0.9129804,0.001389528,0.008529997,0.005587969,0.0002878355,0.001759356,0.0001788418,0.06641632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9053484,"threshold_uncertainty_score":0.3166411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03756150140115051,"score_gpt":0.2496717001610367,"score_spread":0.2121101987598862,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}